{"id":"W1564143512","doi":"10.1002/9780470057339.vac003.pub2","title":"Capture–Recapture Sampling Designs","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Mark and recapture; Sampling (signal processing); Focus (optics); Point (geometry); Data collection; Sampling design; Data science; Data mining; Statistics; Mathematics; Sociology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002844445,0.0003388628,0.0005066479,0.000662103,0.00003435426,0.000007393407,0.0002182526,0.0006325826,0.005656895],"category_scores_gemma":[0.0006860628,0.0003193034,0.0001497602,0.0004411199,0.00005915534,0.00005496327,0.00006169356,0.0003112449,0.0001653828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950484,"about_ca_system_score_gemma":0.00002364076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008125396,"about_ca_topic_score_gemma":0.00002093928,"domain_scores_codex":[0.9984639,0.00006180268,0.0004648273,0.0002630943,0.0004453282,0.0003010351],"domain_scores_gemma":[0.9981436,0.0004670975,0.0007149332,0.0005361841,0.00001662394,0.0001215682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007332484,0.0003368229,0.0107961,0.0006924082,0.0001231423,0.000003230599,0.0005109098,0.00005559146,0.00001770516,0.01995774,0.942687,0.02481207],"study_design_scores_gemma":[0.0001684356,0.00001404837,0.002391467,0.00008646229,0.0001844493,0.000003352083,0.00001474878,0.0000219758,0.000007424225,0.003494148,0.9932539,0.0003595369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001156675,0.004750999,0.0652408,0.00002656675,0.0009172173,0.0004635023,0.0001603417,0.0001534699,0.9281715],"genre_scores_gemma":[0.002199973,0.003260356,0.2175955,0.00003834377,0.001331784,0.00002095486,0.0002764496,0.0008146157,0.774462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1537094,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06953413766997923,"score_gpt":0.3089997176237811,"score_spread":0.2394655799538019,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}